Go to file

Sei Lisa 7eaa4cb0ad Fix --postarg and add option --preproc-show-cmdline + unit test

Thanks to @Blues-Today for reporting that --postarg was not working.

This needed a regression test, and the best way to distinguish --prearg from --postarg is to display the full preprocessor command line, therefore a new option was added for that purpose: --preproc-show-cmdline

Fixes #18.

2022-06-17 16:13:22 +02:00

lslopt

Forgot to update copyright year

2022-06-07 19:46:31 +02:00

pcpp @ 18d5bc4cdb

Update to latest pcpp, remove expression evaluator

2020-11-04 13:09:34 +01:00

unit_tests

Fix --postarg and add option --preproc-show-cmdline + unit test

2022-06-17 16:13:22 +02:00

.gitignore

Add the outfile.tmp file generated by a test to .gitignore

2019-01-15 23:22:02 +01:00

.gitmodules

Don't report pcpp as modified if it has untracked files

2019-01-12 20:33:52 +01:00

builtins-unittest.txt

Get rid of builtins.txt.dat by adding a parameter to the parser ctor.

2015-07-09 20:35:14 +02:00

builtins.txt

New constants and functions; some refactoring of lslfuncopt

2022-05-13 14:49:18 +02:00

COPYING

Add copyright notices to all files, to prepare the program for release.

2015-03-05 23:18:41 +01:00

cpreproc.py

Forgot to update copyright year

2022-06-07 19:46:31 +02:00

fndata.txt

New constants and functions; some refactoring of lslfuncopt

2022-05-13 14:49:18 +02:00

main.py

Fix --postarg and add option --preproc-show-cmdline + unit test

2022-06-17 16:13:22 +02:00

README.md

Update link to point to lsl.blacktulip-virtual.com instead of lsl.project.zone

2018-01-18 15:41:28 +01:00

run-tests.py

Forgot to update copyright year

2022-06-07 19:46:31 +02:00

strutil.py

Forgot to update copyright year

2022-06-07 19:46:31 +02:00

README.md

LSL PyOptimizer

LSL PyOptimizer is a LSL2 script optimizer written in Python 2. Currently it only supports code memory optimization (no speed optimization), only for Mono (no LSO), and only for the Second Life flavour of LSL (no OpenSim etc.).

HTML introduction, list of features and documentation available at http://lsl.blacktulip-virtual.com/lsl-pyoptimizer/